Commit Graph

1956 Commits

Author SHA1 Message Date
Ryan Dick
0b84f567f1 Fix type errors and imporve docs for ControlNetFlux. 2024-10-10 07:59:29 -04:00
Ryan Dick
69c0d7dcc9 Remove gradient checkpointing from ControlNetFlux. 2024-10-10 07:59:29 -04:00
Ryan Dick
5307248fcf Remove ControlNetFlux logic related to attn processor overrides. 2024-10-10 07:59:29 -04:00
Ryan Dick
2efaea8f79 Remove duplicate FluxParams class. 2024-10-10 07:59:29 -04:00
Ryan Dick
c1dfd9b7d9 Fix FLUX module imports for ControlNetFlux. 2024-10-10 07:59:29 -04:00
Ryan Dick
c594ef89d2 Copy ControlNetFlux model from 47495425db/src/flux/controlnet.py. 2024-10-10 07:59:29 -04:00
Eugene Brodsky
b6c7949bb7 feat(backend): prefer xformers based on cuda compute capability 2024-10-09 22:46:18 -04:00
Kent Keirsey
969f8b8e8d ruff update 2024-10-08 08:56:26 -04:00
David Burnett
ccb5f90556 Get Flux working on MPS when torch 2.5.0 test or nightlies are installed. 2024-10-08 08:56:26 -04:00
Ryan Dick
3d4bd71098 Update test_probe_handles_state_dict_with_integer_keys() to make sure that it is still testing what it's intended to test. Previously, we were skipping an important part of the test by using a fake file path. 2024-10-02 18:33:05 -04:00
Brandon Rising
814be44cd7 Ignore paths that don't exist in probe for unit tests 2024-10-02 18:33:05 -04:00
Brandon Rising
d328eaf743 Remove no longer used dequantize_tensor function 2024-10-02 18:33:05 -04:00
Brandon Rising
0f333388bb Add comment describing why we're not using the meta device during probing of gguf files 2024-10-02 18:33:05 -04:00
Ryan Dick
bc63e2acc5 Add workaround for FLUX GGUF models with incorrect img_in.weight shape. 2024-10-02 18:33:05 -04:00
Ryan Dick
ec7e771942 Add a compute_dtype field to GGMLTensor. 2024-10-02 18:33:05 -04:00
Ryan Dick
fe84013392 Add unit tests for GGMLTensor. 2024-10-02 18:33:05 -04:00
Ryan Dick
710f81266b Fix type errors in GGMLTensor. 2024-10-02 18:33:05 -04:00
Brandon Rising
446e2884bc Remove no longer used code paths, general cleanup of new dequantization code, update probe 2024-10-02 18:33:05 -04:00
Brandon Rising
7d9f125232 Run ruff and update imports 2024-10-02 18:33:05 -04:00
Brandon Rising
66bbd62758 Run ruff and fix typing in torch patcher 2024-10-02 18:33:05 -04:00
Brandon Rising
0875e861f5 Various updates to gguf performance 2024-10-02 18:33:05 -04:00
Brandon
0267d73dfc Update invokeai/backend/model_manager/load/model_loaders/flux.py
Co-authored-by: Ryan Dick <ryanjdick3@gmail.com>
2024-10-02 18:33:05 -04:00
Ryan Dick
f06765dfba Get alternative GGUF implementation working... barely. 2024-10-02 18:33:05 -04:00
Ryan Dick
f347b26999 Initial experimentation with Tensor-like extension for GGUF. 2024-10-02 18:33:05 -04:00
Lincoln Stein
c665cf3525 recognize .gguf files when scanning a folder for import 2024-10-02 18:33:05 -04:00
Brandon Rising
2bfb0ddff5 Initial GGUF support for flux models 2024-10-02 18:33:05 -04:00
Ryan Dick
807f458f13 Move FLUX_LORA_TRANSFORMER_PREFIX and FLUX_LORA_CLIP_PREFIX to a shared location. 2024-10-01 10:22:11 -04:00
Ryan Dick
68dbe45315 Fix regression with FLUX diffusers LoRA models where lora keys were not given the expected prefix. 2024-10-01 10:22:11 -04:00
Mary Hipp
c224971cb4 feat(ui,api): add guidance as a default setting option for FLUX models 2024-09-30 17:15:33 -04:00
Ryan Dick
c256826015 Whoops, the 'lora_te1' prefix in FLUX kohya models refers to the CLIP text encoder - not the T5 as previously assumed. Update everything accordingly. 2024-09-30 07:59:14 -04:00
Ryan Dick
7d38a9b7fb Add prefix to distinguish FLUX LoRA submodels. 2024-09-30 07:59:14 -04:00
Ryan Dick
d332d81866 Add ability to load FLUX kohya LoRA models that include patches for both the transformer and T5 models. 2024-09-30 07:59:14 -04:00
Ryan Dick
bdeec54886 Remove FLUX TrajectoryGuidanceExtension and revert to the InpaintExtension. Keep the improved inpaint gradient mask adjustment behaviour. 2024-09-26 19:54:28 -04:00
Ryan Dick
8d50ecdfc3 Update docs explaining inpainting trajectory guidance. 2024-09-26 19:54:28 -04:00
Ryan Dick
ba07e255f5 Add support for fractional denoise start and end with FLUX. 2024-09-26 19:54:28 -04:00
Ryan Dick
fae96f3b9f Remove trajectory_guidance_strength parameter. 2024-09-26 19:54:28 -04:00
psychedelicious
dc10197615 fix(app): step callbacks for SD, FLUX, MultiDiffusion
Each of these was a bit off:
- The SD callback started at `-1` and ended at `i`. Combined w/ the weird math on the previous `calc_percentage` util, this caused the progress bar to never finish.
- The MultiDiffusion callback had the same problems as SD.
- The FLUX callback didn't emit a pre-denoising step 0 image. It also reported total_steps as 1 higher than the actual step count.

Each of these now emit the expected events to the frontend:
- The initial latents at 0%
- Progress at each step, ending at 100%
2024-09-22 21:20:32 +03:00
Ryan Dick
a43a045b04 Fix preview image to work well with FLUX trajectory guidance. 2024-09-20 21:08:41 +00:00
Ryan Dick
cd3a7bdb5e Assert that change_ratio is in the expected range in TrajectoryGuidanceExtension. 2024-09-20 20:34:49 +00:00
Ryan Dick
16ca540ece Pre-compute trajectory guidance schedule params rather than calculating on each step. 2024-09-20 20:18:06 +00:00
Ryan Dick
2f82171dff Tidy up the logic for inpainting mask adjustment in FLUX TrajectoryGuidanceExtension. 2024-09-20 14:48:06 +00:00
Ryan Dick
b6748fb1e1 Fix typo 2024-09-20 14:15:59 +00:00
Ryan Dick
f0aad5882d Fixup docs in the TrajectoryGuidanceExtension. 2024-09-20 14:04:53 +00:00
Ryan Dick
e8357afd3a Add traj_guidance_strength to FluxDenoiseInvocation. 2024-09-20 02:41:52 +00:00
Ryan Dick
93c15c9958 Rough draft of TrajectoryGuidanceExtension. 2024-09-20 02:21:47 +00:00
Ryan Dick
97de521c70 Add build_line(...) util function. 2024-09-20 01:01:37 +00:00
Ryan Dick
3d6f60f63e Merge branch 'main' into ryan/flux-lora-quantized 2024-09-18 13:22:39 -04:00
maryhipp
8916036ed3 fix progress image for FLUX inpainting 2024-09-17 06:41:32 +03:00
psychedelicious
0fd430fc20 fix(nodes): add thresholding to lineart & lineart anime nodes
The lineart model often outputs a lot of almost-black noise. SD1.5 ControlNets seem to be OK with this, but SDXL ControlNets are not - they need a cleaner map. 12 was experimentally determined to be a good threshold, eliminating all the noise while keeping the actual edges. Other approaches to thresholding may be better, for example stretching the contrast or removing noise.

I tried:
- Simple thresholding (as implemented here) - works fine.
- Adaptive thresholding - doesn't work, because the thresholding is done in the context of small blocks, while we want thresholding in the context of the whole image.
- Gamma adjustment - alters the white values too much. Hard to tuen.
- Contrast stretching, with and without pre-simple-thresholding - this allows us to treshold out the noise, then stretch everything above the threshold down to almost-zero. So you have a smoother gradient of lightness near zero. It works but it also stretches contrast near white down a bit, which is probably undesired.

In the end, simple thresholding works fine and is very simple.
2024-09-17 04:04:11 +03:00
Ryan Dick
2934e31620 Fix bug when applying multiple LoRA models via apply_lora_sidecar_patches(), and add unit tests for the stacked LoRA case. 2024-09-16 14:48:39 +00:00